Infrastructure

Infrastructure on ThecoreGrid covers the design, operation, and evolution of the foundational systems that power modern software at scale.

We explore compute, networking, and storage layers, along with virtualization, containers, and cloud platforms in highload environments. The focus is on production-grade engineering: reliability, fault tolerance, capacity planning, cost efficiency, and secure system design. Topics include Infrastructure as Code, automation, provisioning, multi-region setups, traffic routing, and failure recovery. We analyze real-world trade-offs and operational challenges, supported by BigTech practices, incident post-mortems, and lessons from large-scale infrastructure failures. You’ll find deep dives into observability, performance tuning, and platform reliability under dynamic workloads. Instead of basic setup guides, the Infrastructure tag delivers practical insights for platform engineers, DevOps teams, SREs, and architects responsible for building and maintaining robust, scalable, and efficient infrastructure systems.

LLM serving platform vLLM and Triton in production

31.07.2026 by ThecoreGrid

LLM serving platform based on vLLM and Triton: architecture, trade-offs, and bottlenecks in production when scaling inference

Orbital AI Data Centers Hit Network Limits

30.07.2026 by ThecoreGrid

Orbital AI data centers promise cheap energy and cooling, but network bandwidth, latency, and topology may limit large-scale LLM training in space

MoE routing acceleration without dynamic networking

29.07.2026 by ThecoreGrid

MoE routing in direct topologies is limited by unpredictable traffic. An analysis of MoX shows how static routing reduces congestion and approaches switch performance. In classic ML clusters, the network is designed for regular collective operations. This works as long as the traffic is predictable. MoE routing breaks this assumption. Each token selects top-K experts, … Read more

LLM Serving Workload Analysis FineServe Without Illusions

28.07.2026 by ThecoreGrid

LLM serving workload turns out to be significantly more complex than is typically modeled. FineServe demonstrates how real workloads break simplified assumptions and impact architecture. Modern LLM platforms operate as always-on services with strict requirements for latency and throughput. The main issue is the unstable and heterogeneous LLM serving workload. Most studies have relied on … Read more

In-band SDN scales through border-switch graphs

27.07.2026 by ThecoreGrid

In-band SDN with multi-controller coordination: how Periplus limits forwarding state using border-switch graphs and scales the network without increasing load

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